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Charitable food donations in Sweden – a new philanthropy finding its place in a time of crisis

The purpose of this paper is to describe and analyse the establishment of large-scale food philanthropy in Sweden. Food philanthropy is here understood as collaborations between civil society organisations and the food industry, through which food surplus is turned into food aid for people in food insecurity. The first examples of such philanthropy emerged less than ten years ago in Sweden, but it

Machine Learning for Perception and Localization: Efficient and Invariant Methods

This thesis covers a set of methods related to machine perception and localization, which are two important building blocks of artificial intelligence. In Paper I, we explore the concept of regression via classification (RvC), which is often used for perception tasks where the target variable is either ordinal or when the distance metric of the target space is not well-suited as an objective funct

Room Impulse Response Estimation using Optimal Transport : Simulation-Informed Inference

The ability to accurately estimate room impulse responses (RIRs) is integral to many applications of spatial audio processing. Regrettably, estimating the RIR using ambient signals, such as speech or music, remains a challenging problem due to, e.g., low signal-to-noise ratios, finite sample lengths, and poor spectral excitation. Commonly, in order to improve the conditioning of the estimation pro

Sound Field Estimation Using Deep Kernel Learning Regularized by the Wave Equation

In this work, we introduce a spatio-temporal kernel for Gaussian process (GP) regression-based sound field estimation. Notably, GPs have the attractive property that the sound field is a linear function of the measurements, allowing the field to be estimated efficiently from distributed microphone measurements. However, to ensure analytical tractability, most existing kernels for sound field estim

MAGIC library – A tool to assess surface water acidification

We have developed a tool, the MAGIC library, which provides an acidification assessment for any given lake or stream in Sweden based on ten parameters describing lake geographical position, surface area, annual discharge and observed lake water chemistry. The MAGIC library consists of two key components: a library of the existing MAGIC model simulations for 2438 lakes and an analogue matching rout

Self-reported fatigue in people with post COVID-19 : Impact on functioning in daily life, and associated factors – a cross-sectional study

Objective: To assess (i) the impact of self-reported fatigue on functioning in daily life, and (ii) the association with sociodemographics, physical capacity, and work ability among people with post-COVID-19. Design: A cross-sectional study. Subjects: Adults reporting post-COVID-19 symptoms for at least 2 months. Methods: Participants were recruited through social media and responded to an online

Taking Your Online Lectures to the Next Level

This paper introduces P-expo, a do-it-yourself open-source software solution for enhancing online lectures. P-expo seamlessly integrates text, images, videos, webcams, and audio, with support for text-based tools like git for collaboration. Additionally, the paper introduces affordable DIY hardware components to enrich online education seminars, and presents a curated selection of accessible open-

LU-PZE: Lund University Pole-Zero Explorer

LU-PZE is an interactive tool for illustrating fundamental concepts related to control theory, covering the relation between transfer functions, pole-zero plots, step responses, Bode plots, and Nyquist diagram. The tool gamifies education with dynamic assignments and quizzes. The tool is straightforward to use since it is web-based. https://lu-pze.github.io

Preferential Pathways Inversion From Cross-Borehole Electrical Data

Identification of preferential flow-paths, such as fractures, is required for various issues in geosciences. When chemicals are injected into the subsurface, monitoring the resulting structural and chemical changes remains a challenge. The ability of geophysical tomography to tackle this problem is not fully explored due to the lack of numerical methods suitable for modeling narrow structures. We

Knowledge Transfer from Interdisciplinary Research on Circular Economy to Academic Disciplines - a bibliometrics study

This study investigates the knowledge transfer from interdisciplinary research on Circular Economy (CE) to classical academic disciplines (ADs) such as Engineering, Economics, Geography, and Management. Despite the prolific publication of CE research in interdisciplinary journals, there is a notable discrepancy in its integration into traditional AD journals. Utilizing a bibliometric analysis of 2

Flame structure of single aluminum droplets burning in hot steam-dominated flows

In this work, a specially designed experimental setup is employed to study the ignition and combustion of single aluminum droplets in hot steam-dominated flows. The transient burning behaviors of Al droplets of different sizes are characterized by simultaneously visualizing the flame incandescence and droplet shadowgraphs with two high-speed cameras at high magnification. The combustion process ca

Impaired blood pressure regulation in post-COVID-19 postural orthostatic tachycardia syndrome: novel disease mechanisms beyond sinus tachycardia

Background: Postural orthostatic tachycardia syndrome (POTS) is a prevalent cardiovascular disorder after COVID-19 infection. Although POTS is characterized by the presence of sinus tachycardia, other hemodynamic disturbances including blood pressure (BP) regulation, remain largely unexplored.Aims: We investigated BP changes using 24-hour ambulatory-BP-monitoring in patients with new-onset POTS af

Impact of lifestyle intervention on vitamin D, Adiponectin, Insulin-like growth factor 1 and Proneurotensin in overweight individuals from the Middle East

Background: Immigrants from the Middle East (ME) have a higher prevalence of type 2 diabetes (T2D) compared to the native-born Swedish population. In individuals free from T2D, ME immigrants are more insulin resistant and have lower levels of adjusted insulin secretion (Disposition index, DIo) compared to Swedish-born individuals. The ethnic differences are not fully explained by traditional risk